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biomed-research

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software/biomed-research

Modular, YAML-configured Python pipeline for multi-scale fMRI functional brain network analysis. Validated on OpenNeuro ds007318 with Schaefer-200 parcellation.

Machine-generated from the listed sources and not yet reviewed by a human.

biomed-research project image
GitHub preview card for sarapradhan/biomed-research. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
deepwiki.com/sarapradhan/biomed-research
Repository
github.com/sarapradhan/biomed-research
Documentation
unknown
Tags
brain-connectivity · fmri · fmriprep · functional-connectivity · neuroimaging · neuroscience · open-science · python · reproducible-research · schizophrenia
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • controlCartographybrain-connectivity · fmri · functional-connectivity · neuroimaging

    Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.

  • FCEstbrain-connectivity · fmri · functional-connectivity · neuroimaging

    Methods for estimating time-varying functional connectivity (TVFC)

  • multi-FRAMEfmri · fmriprep · neuroimaging

    Package for multivariate fMRI analyses

  • neurocapsfmri · fmriprep · neuroimaging

    A Python package for performing Co-Activation Patterns (CAPs) analyses on resting-state and task-based fMRI data.

  • integrating-multi-modal-neuroimagingneuroimaging · schizophrenia

    Integrating machining learning and multi-modal neuroimaging to detect schizophrenia at the level of the individual

  • dl-task-contrast-predictionfmri · functional-connectivity · neuroimaging

    Code for the work entitled "Predicting Task Activation Maps from Resting-State Functional Connectivity using Deep Learning"

sources
  1. api.github.com/repos/sarapradhan/biomed-research
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-10, 15 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/29.json→ .entries["biomed-research"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.